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Wang C, Yan W, Ren M, Zhong L. Screening significance of systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) in coronary heart disease of symptomatic youth. Immun Inflamm Dis 2024; 12:e1369. [PMID: 39110067 PMCID: PMC11304894 DOI: 10.1002/iid3.1369] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 05/30/2024] [Accepted: 07/26/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND The incidence of coronary heart disease (CHD) in youth is rapidly increasing but difficultly recognized in the early stage. METHODS AND RESULTS In this retrospective study, 194 CHD patients under the age of 45 who previously experienced chest pain symptoms and 170 non-CHD patients were included and demographic data were collected. Systemic inflammation index (SII) and systemic inflammation response index (SIRI) were increased in young CHD patients (p < 001). Spearman's correlation analysis showed that both SII and SIRI were negatively correlated with HDL and positively correlated with hypertension, Gensini score, and hsTnI. Logistic regression analysis indicated that SII and SIRI were independently associated with the presence of CHD in youth with chest pain symptoms. The area under the ROC curve (AUC) of the SII model for young CHD patients was 0.805 (0.728-0.869), and the sensitivity and specificity were 0.65 and 0.823, respectively. Meanwhile, the AUC for the SIRI model was 0.812 (0.739-0.872), and the sensitivity and specificity were 0.673 and 0.8022. The calibration curves of both SII and SIRI models are in good agreement with the actual curves. And the decision curves of both models indicated their clinical practicality. CONCLUSION SII and SIRI are independent risk factors for CHD in young adults, which can quickly and effectively identify CHD patients among young adults who have previously experienced chest pain symptoms.
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Affiliation(s)
- Chunxiao Wang
- Department of CardiologyYantai Yuhuangding HospitalYantaiShandongChina
| | - Weihong Yan
- Department of CardiologyYantai Yuhuangding HospitalYantaiShandongChina
| | - Mengmeng Ren
- Department of CardiologyYantai Yuhuangding HospitalYantaiShandongChina
| | - Lin Zhong
- Department of CardiologyYantai Yuhuangding HospitalYantaiShandongChina
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Shi J, Shao MJ, Yu M, Tang BP. The Inflammation-Fibrosis Combined Index: A Novel Marker for Predicting Left Ventricular Reverse Remodeling and Prognosis in Patients with HFrEF. J Inflamm Res 2024; 17:3967-3982. [PMID: 38915807 PMCID: PMC11194169 DOI: 10.2147/jir.s460641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 06/12/2024] [Indexed: 06/26/2024] Open
Abstract
Background Inflammation and cardiac fibrosis are important pathogenic drivers of heart failure. The fibrosis-4 index (FIB-4) is associated with a higher degree of fibrosis. The systemic immune inflammation index (SII) is associated with a higher degree of systemic inflammation status. Previous studies have shown that they are associated with a poor prognosis for cardiovascular disease. We sought to investigate the value of FIB-4 combined with the SII as a novel inflammation-fibrosis combined index (IFCI) in predicting left ventricular reverse remodeling (LVRR) and prognosis among reduced ejection fraction heart failure (HFrEF) patients. Methods A total of 895 patients with HFrEF were continuously recruited. Receiver operating characteristic curves were drawn to assess the abilities of inflammation-fibrosis indicators to predict LVRR. Multivariable Cox regression analysis was used to examine independent predictors of composite cardiac events and all-cause death. Results After six months of follow-up, 344 (38.4%) patients experienced LVRR. The IFCI had the largest area under the curve (0.835, P < 0.001). In multivariate-adjusted logistic regression analyses, FIB-4, SII, and IFCI were predictive of LVRR (P value < 0.05). The IFCI was associated with a 3.686-fold higher risk of non-LVRR (odds ratio [OR] = 3.686, P < 0.001). Moreover, an increased IFCI predicted a poor prognosis in HFrEF patients. The highest risk of composite cardiac events (hazard ratio [HR] = 2.716, P < 0.001) was observed in the top IFCI-tertile group, and similar results were found regarding independent risk indicators of all-cause death. Conclusion In summary, this study indicated that increased IFCI at admission offers good predictability regarding non-LVRR and predicts the risk of all-cause mortality or composite cardiovascular events due to HFrEF patients and could be used as a novel marker.
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Affiliation(s)
- Jia Shi
- Cardiac Pacing and Physiological Department, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
- Xinjiang Key Laboratory of Cardiac Electrophysiology and Cardiac Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Meng-Jiao Shao
- Department of Cardiology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, People’s Republic of China
| | - Miao Yu
- Cardiac Pacing and Physiological Department, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
- Xinjiang Key Laboratory of Cardiac Electrophysiology and Cardiac Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Bao-Peng Tang
- Cardiac Pacing and Physiological Department, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
- Xinjiang Key Laboratory of Cardiac Electrophysiology and Cardiac Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
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Qiu J, Huang X, Kuang M, Wang C, Yu C, He S, Xie G, Wu Z, Sheng G, Zou Y. Evaluating the prognostic value of systemic immune-inflammatory index in patients with acute decompensated heart failure. ESC Heart Fail 2024. [PMID: 38867498 DOI: 10.1002/ehf2.14904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 05/27/2024] [Accepted: 05/29/2024] [Indexed: 06/14/2024] Open
Abstract
AIMS The value of the systemic immune-inflammatory index (SII) in assessing adverse outcomes in various cardiovascular diseases has been extensively discussed. This study aims to evaluate the predictive value and risk stratification ability of SII for 30 day mortality in patients with acute decompensated heart failure (ADHF). METHODS This analysis included 1452 patients hospitalized for ADHF, all the participants being part of the China Jiangxi-acute decompensated heart failure1 project. The risk stratification capability of the SII in patients with ADHF, as well as its correlation with the 30 day mortality risk among ADHF patients, was evaluated utilizing Kaplan-Meier survival analysis and multivariable Cox regression models. A restricted cubic spline was employed to model the dose-response relationship between the two, and the receiver operating characteristic curve was utilized to assess the predictive ability of SII for 30 day mortality. RESULTS The Kaplan-Meier analysis revealed that the risk of mortality in the high SII group (SII ≥ 980 × 109/L) was significantly greater than that in the low SII group (SII < 980 × 109/L, log-rank P < 0.001). After adjusting for various confounding factors, a higher SII was associated with an increased risk of 30 day mortality in ADHF patients [hazard ratio (HR) = 2.03, 95% confidence interval (CI): 1.34-3.08]. Further restricted cubic spline analysis revealed a non-linear dose-response relationship between the two (P for non-linear = 0.006). Receiver operating characteristic analysis demonstrated that SII had a high accuracy in predicting 30 day mortality events in ADHF patients (AUC = 0.7479), and the optimal predictive threshold was calculated to be 980 × 109/L, a sensitivity of 0.7547 and a specificity of 0.7234. CONCLUSIONS This study found a significant positive association between SII and 30 day all-cause mortality in ADHF patients. We determined the SII cut-off point for predicting 30 day all-cause mortality in patients with ADHF to be 980 × 109/L.
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Affiliation(s)
- Jiajun Qiu
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Xin Huang
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Maobin Kuang
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Chao Wang
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Changhui Yu
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Shiming He
- Jiangxi Medical College, Nanchang University, Nanchang, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Guobo Xie
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Zhiyong Wu
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Guotai Sheng
- Department of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
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Zhu D, Wang C, Zhou Y, Che H, Wang R, Cheng L, Rao C, Zhong Q, Li Z, Duan Y, He K. The Associations of Two Novel Inflammation Biomarkers, SIRI and SII, with Mortality Risk in Patients with Chronic Heart Failure. J Inflamm Res 2024; 17:1255-1264. [PMID: 38415264 PMCID: PMC10898362 DOI: 10.2147/jir.s451190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/16/2024] [Indexed: 02/29/2024] Open
Abstract
Background The associations of two novel inflammation biomarkers, systemic inflammation response index (SIRI) and systemic immune inflammation index (SII), with mortality risk in patients with chronic heart failure (CHF) are not well-characterized. Methods This retrospective cohort study included patients with CHF in two medical centers of Chinese People's Liberation Army General Hospital, Beijing, China. The outcomes of this study included in-hospital mortality and long-term mortality. Associations of SIRI and SII with mortality were assessed using multivariable regressions and receiver operating characteristic (ROC) analyses. Results A total of 6232 patients with CHF were included in the present study. We documented 97 cases of in-hospital mortality and 1738 cases of long-term mortality during an average 5.01-year follow-up. Compared with patients in the lowest quartile of SIRI, those in the highest quartile exhibited 134% higher risk of in-hospital mortality (adjusted odds ratio, 2.34; 95% confidence interval [CI], 1.16-4.72) and 45% higher risk of long-term mortality (adjusted hazard ratio, 1.45; 95% CI, 1.25-1.67). Compared with patients in the lowest quartile of SII, those in the highest quartile exhibited 27% higher risk of long-term mortality (adjusted hazard ratio, 1.27; 95% CI, 1.11-1.46). In ROC analyses, SIRI showed better prognostic discrimination than C-reactive protein (area under the curve: 69.39 vs 60.91, P = 0.01, for in-hospital mortality; 61.82 vs 58.67, P = 0.03, for 3-year mortality), whereas SII showed similar prognostic value with C-reactive protein. Conclusion SIRI and SII were significantly associated with mortality risk in patients with CHF. SIRI may provide better prognostic discrimination than C-reactive protein.
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Affiliation(s)
- Di Zhu
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
- Graduate School of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Chi Wang
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - You Zhou
- School of Medicine, Nankai University, Tianjin, 300071, People's Republic of China
| | - Hebin Che
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Ruiqing Wang
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
- Graduate School of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Liting Cheng
- School of Medicine, Nankai University, Tianjin, 300071, People's Republic of China
| | - Chongyou Rao
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
- Graduate School of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Qin Zhong
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Zongren Li
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Yongjie Duan
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
- Graduate School of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Kunlun He
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
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Rabrenović V, Petrović M, Rabrenović M, Pilčević D, Rančić N. The significance of biomarkers of inflammation in predicting the activity of Lupus nephritis. J Med Biochem 2024; 43:116-125. [PMID: 38496018 PMCID: PMC10943464 DOI: 10.5937/jomb0-43457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/14/2023] [Indexed: 03/19/2024] Open
Abstract
Background Lupus nephritis (LN) is one of the most severe manifestations of systemic lupus erythematosus (SLE). There are increased studies examining the role of different markers that would facilitate diagnosis, LN activity monitoring, relapse occurrence, and the right time to introduce maintenance therapy. We aimed to examine the importance of determining the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), systemic immuneinflammatory index (SII) and systemic inflammatory response index (SIRI) in LN, comparing their significance with other standard parameters of active disease. Methods The clinical examination included 66 patients (34 with active and 32 with LN in remission) and 23 healthy controls. The investigated parameters were CRP, CBC, creatinine, albumin, GFR, C3, C4, ANA, anti-ds DNA Ab, in urine: sediment analysis, SLEDAI/r, proteinuria 24h and Up/cre. We determined the derived markers: NLR, PLR, SIRI, and SII and their correlation with other parameters of active disease.
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Affiliation(s)
| | | | | | - Dejan Pilčević
- Military Medical Academy, Clinic of Nephrology, Belgrade
| | - Nemanja Rančić
- Military Medical Academy, Centre for Clinical Pharmacology, Belgrade
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Yan P, Yang Y, Zhang X, Zhang Y, Li J, Wu Z, Dan X, Wu X, Chen X, Li S, Xu Y, Wan Q. Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population. Front Endocrinol (Lausanne) 2024; 14:1307692. [PMID: 38239983 PMCID: PMC10795757 DOI: 10.3389/fendo.2023.1307692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 12/11/2023] [Indexed: 01/22/2024] Open
Abstract
Objective Systemic immune-inflammation index (SII), a novel inflammatory marker, has been reported to be associated with diabetic kidney disease (DKD) in the U.S., however, such a close relationship with DKD in other countries, including China, has not been never determined. We aimed to explore the association between SII and DKD in Chinese population. Methods A total of 1922 hospitalized patients with type 2 diabetes mellitus (T2DM) included in this cross-sectional study were divided into three groups based on estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR): non-DKD group, DKD stages 1-2 Alb group, and DKD-non-Alb+DKD stage 3 Alb group. The possible association of SII with DKD was investigated by correlation and multivariate logistic regression analysis, and receiver-operating characteristic (ROC) curves analysis. Results Moving from the non-DKD group to the DKD-non-Alb+DKD stage 3 Alb group, SII level was gradually increased (P for trend <0.01). Partial correlation analysis revealed that SII was positively associated with urinary ACR and prevalence of DKD, and negatively with eGFR (all P<0.01). Multivariate logistic regression analysis showed that SII remained independently significantly associated with the presence of DKD after adjustment for all confounding factors [(odds ratio (OR), 2.735; 95% confidence interval (CI), 1.840-4.063; P < 0.01)]. Moreover, compared with subjects in the lowest quartile of SII (Q1), the fully adjusted OR for presence of DKD was 1.060 (95% CI 0.773-1.455) in Q2, 1.167 (95% CI 0.995-1.368) in Q3, 1.266 (95% CI 1.129-1.420) in the highest quartile (Q4) (P for trend <0.01). Similar results were observed in presence of DKD stages 1-2 Alb or presence of DKD-non- Alb+DKD stage 3 Alb among SII quartiles. Last, the analysis of ROC curves revealed that the best cutoff values for SII to predict DKD, Alb DKD stages 1- 2, and DKD-non-Alb+ DKD stage 3 Alb were 609.85 (sensitivity: 48.3%; specificity: 72.8%), 601.71 (sensitivity: 43.9%; specificity: 72.3%), and 589.27 (sensitivity: 61.1%; specificity: 71.1%), respectively. Conclusion Higher SII is independently associated with an increased risk of the presence and severity of DKD, and SII might be a promising biomarker for DKD and its distinct phenotypes in Chinese population.
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Affiliation(s)
- Pijun Yan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Yuxia Yang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Xing Zhang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Yi Zhang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Jia Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Zujiao Wu
- Department of Clinical Nutrition, Chengdu Eighth People’s Hospital (Geriatric Hospital of Chengdu Medical College), Chengdu, China
| | - Xiaofang Dan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Xian Wu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Xiping Chen
- Clinical Medical College, Southwest Medical University, Luzhou, China
| | - Shengxi Li
- Clinical Medical College, Southwest Medical University, Luzhou, China
| | - Yong Xu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Qin Wan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
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Fan QX, Liu JH, Mo DG. Systemic Immune-Inflammatory Index as a Novel Biomarker of Carotid Artery Stenosis. Angiology 2023; 74:798-799. [PMID: 36627163 DOI: 10.1177/00033197231151813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
In this manuscript, we discussed some points about systemic immune-inflammatory index (SII) and carotid artery stenosis (CAS) and put forward our comments.
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Affiliation(s)
- Qing-Xin Fan
- Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, PR China
| | - Jia-Hui Liu
- Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, PR China
| | - De-Gang Mo
- Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, PR China
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Zhang B, Yao W. Prognostic role of the systemic immune-inflammation index in biliary tract cancers: a meta-analysis of 3,515 patients. World J Surg Oncol 2022; 20:320. [PMID: 36171621 PMCID: PMC9519406 DOI: 10.1186/s12957-022-02783-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/12/2022] [Indexed: 11/10/2022] Open
Abstract
Background The systemic immune-inflammation index (SII) is an inflammatory parameter calculated as platelet count × neutrophil count/lymphocyte count in the peripheral blood. In recent years, the prognostic role of the SII in patients with biliary tract cancer (BTC) has been gradually investigated. However, the results were controversial. This meta-analysis aimed to illustrate the prognostic value of the SII in BTC. Methods The electronic databases of PubMed, the Web of Science, Embase, and the Cochrane Library were thoroughly retrieved up to April 15, 2022. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were used to evaluate the prognostic value of the SII for clinical outcomes. The association between the SII and overall survival (OS) and recurrence-free survival (RFS)/progression-free survival (PFS) was evaluated. Results Thirteen studies involving 3515 patients were included in this meta-analysis. The pooled results indicated that an elevated SII was significantly associated with poor OS (HR, 1.77; 95% CI, 1.47–2.14; p<0.001) and RFS/PFS (HR, 1.66; 95% CI, 1.38–1.99; p<0.001) in patients with BTC. Subgroup analysis stratified by country, sample size, and cutoff value showed similar results. The sensitivity analysis and publication bias test confirmed the reliability of our results. Conclusions An elevated pretreatment SII was significantly associated with worse OS and RFS/PFS in patients with BTC. Our results suggest that the SII is a valuable and cost-effective prognostic parameter for the treatment of patients with BTC. Supplementary Information The online version contains supplementary material available at 10.1186/s12957-022-02783-z.
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Affiliation(s)
- Buwen Zhang
- Department of Oncology, Changxing People's Hospital, Huzhou, 313100, Zhejiang, China
| | - Weiyun Yao
- Department of Hepatobiliary Surgery, Changxing People's Hospital, Huzhou, 313100, Zhejiang, China.
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Tang Y, Chen Q, Liang B, Peng B, Wang M, Sun J, Liu Z, Zha L, Yu Z. A retrospective cohort study on the association between early coagulation disorder and short-term all-cause mortality of critically ill patients with congestive heart failure. Front Cardiovasc Med 2022; 9:999391. [PMID: 36187010 PMCID: PMC9524154 DOI: 10.3389/fcvm.2022.999391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 08/30/2022] [Indexed: 01/10/2023] Open
Abstract
Purpose Coagulation disorder in congestive heart failure (CHF) has been well-documented. The prognostic value of a composite coagulation disorder score, which combines the absolute platelet count, international normalized ratio (INR), and activated partial thromboplastin time (APTT), has not been assessed in CHF. The present study endeavored to explore the association between the coagulation disorder score and adverse outcomes of critically ill patients with CHF. Methods Patients diagnosed with CHF in the Medical Information Mart for Intensive Care III (MIMIC-III) database were included in the present retrospective cohort study. The coagulation disorder score was calculated according to the abnormalities of the absolute platelet count, INR, and APTT within 24 h after intensive care unit admission. The primary outcomes were the short-term all-cause mortality, including 30-, 90-day and in-hospital mortalities. The Kaplan-Meier (K-M) survival curve and the Cox proportional hazard model were performed to assess the correlation between coagulation disorder score and outcome events. Results A total of 6,895 patients were enrolled in this study and divided into four groups according to the coagulation disorder score. K-M survival curve preliminarily indicated that subjects with higher coagulation disorder score presented lower survival rate and shorter survival time. After adjustment for potential confounders, the multivariate Cox analysis further illustrated that elevated coagulation disorder score as a quartile variable was significantly associated with increased all-cause mortality (quartile 4 vs. quartile 1, 30-day: HR [95% CI], 1.98 [1.50, 2.62], 90-day: HR [95% CI], 1.88 [1.49, 2.37], in-hospital: HR [95%CI], 1.93 [1.42, 2.61]). Conclusion In critically ill patients with CHF, ones with high coagulation disorder score tend to be worse clinical prognosis, which would be a promising biomarker and helpful for the management of CHF patients.
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Affiliation(s)
- Yiyang Tang
- Department of Cardiology, Xiangya Hospital, Central South University, Changsha, China
| | - Qin Chen
- Department of Cardiology, Xiangya Hospital, Central South University, Changsha, China
| | - Benhui Liang
- Department of Cardiology, Xiangya Hospital, Central South University, Changsha, China
| | - Baohua Peng
- Department of Cardiology, Xiangya Hospital, Central South University, Changsha, China
| | - Meijuan Wang
- Department of Cardiology, Xiangya Hospital, Central South University, Changsha, China
| | - Jing Sun
- Department of Cardiology, Xiangya Hospital, Central South University, Changsha, China
| | - Zhenghui Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Lihuang Zha
- Department of Cardiology, Xiangya Hospital, Central South University, Changsha, China,National Clinical Research Center for Geriatric Disorders (Xiang Ya), Changsha, China,Lihuang Zha
| | - Zaixin Yu
- Department of Cardiology, Xiangya Hospital, Central South University, Changsha, China,National Clinical Research Center for Geriatric Disorders (Xiang Ya), Changsha, China,*Correspondence: Zaixin Yu
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The Association between Systemic Immune-Inflammation Index and All-Cause Mortality in Acute Ischemic Stroke Patients: Analysis from the MIMIC-IV Database. Emerg Med Int 2022; 2022:4156489. [PMID: 35959219 PMCID: PMC9363175 DOI: 10.1155/2022/4156489] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 06/16/2022] [Accepted: 07/07/2022] [Indexed: 12/31/2022] Open
Abstract
Purpose. Acute ischemic stroke (AIS) is a devastating disease and remains the leading cause of death and disability. This retrospective study aims to investigate associations between systemic immune-inflammation index (SII) and all-cause mortality in patients with AIS. Patients and Methods. We used the data from Medical Information Mart for Intensive Care IV. A total of 1,181 patients with acute ischemic stroke (AIS) were included. Systemic immune-inflammation index (SII) was calculated as platelet count (/L) × neutrophil count (/L)/lymphocyte count (/L). The main outcomes were 30-day all-cause mortality. The association between SII with mortality was evaluated using the Cox proportional hazards regression model. Results. After adjusting for potential covariates, the highest quartiles of SII versus the lowest quartiles of SII, the HR was 2.74 (CI 1.79–4.19,
). Log-transformed SII was significantly associated with 30-day all-cause mortality (HR 2.44; CI 1.72–3.46,
). Furthermore, we found that there is a nearly linear relationship (
) between logarithmic transformed SII with all-cause mortality. Conclusion. Elevated SII of patients with acute ischemic stroke increased the risk of 30-day all-cause mortality. SII may serve as a useful marker to elucidate the role of thrombocytosis, inflammation, and immunity interaction in the development of AIS.
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